22 papers · ranked by Valyu relevance
Lukas P. A. Arts, Egon. L. van den Broek
The spectral analysis of signals is currently either dominated by the speed-accuracy trade-off or ignores a signal’s often non-stationary character. Here we introduce an open-source algorithm to calculate the fast continuous wavelet transform (fCWT). The parallel environment of fCWT separates scale-independent and…
Ali. F. Almutairi, A. Krishna
Filtered-orthogonal frequency division multiplexing (F-OFDM) is one of the most protruding multicarrier modulation (MCM) techniques for fifth-generation and beyond wireless communication. However, it possesses a high peak-to-average power ratio (PAPR), which results in its poor performance. Thus, a novel wavelet based…
M. S. Priyadarshini, Mohit Bajaj, Lukas Prokop, Milkias Berhanu
Electric power utilities must ensure a consistent and undisturbed supply of power, with the voltage levels adhering to specified ranges. Any deviation from these supply specifications can lead to malfunctions in equipment. Monitoring the quality of supplied power is crucial to minimize the impact of fluctuations in…
Nicki Holighaus, Günther Koliander, Clara Hollomey, Friedrich Pillichshammer
'Friedrich Pillichshammer'] Abstract—The constant center frequency to bandwidth ratio (Q-factor) of wavelet transforms provides a very natural representation for audio data. However, invertible wavelet transforms have either required non-uniform decimation—leading to irregular data structures that are cumbersome to…
Noah Shore
University of Galway School of Mathematical and Statistical Sciences This work presents a wavelet-based approach to time-frequency fingerprinting for time series feature extraction, with a focus on audio identification from live recordings of traditional Irish tunes. The challenges of identifying features in…
Attiq Ur Rehman, Weidong Jiao, Jianfeng Sun, Muhammad Sohaib + 8 more
'Yonghua Jiang' 'Mahnoor Shahzadi' 'Muhammad Ijaz Khan' 'Ruben Puche-Panadero' 'Javier Martinez-Roman' 'Angel Sapena-Bano' 'Jordi Burriel-Valencia' 'van Khang Huynh'] This paper introduces a novel approach for detecting inter-turn short-circuit faults in rotor windings using wavelet transformation and empirical mode…
Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang
Transformer and its variants are fundamental neural architectures in deep learning. Recent works show that learning attention in the Fourier space can improve the long sequence learning capability of Transformers. We argue that wavelet transform shall be a better choice because it captures both position and frequency…
Rafael F. Pinheiro, Rui Fonseca-Pinto, Andrea Brunello
For preventing health complications and reducing the strain on healthcare systems, early identification of diseases is imperative. In this context, artificial intelligence has become increasingly prominent in the field of medicine, offering essential support for disease diagnosis. This article introduces an algorithm…
Marta Walenczykowska, Adam Kawalec, Ksawery Krenc, Janusz Dudczyk + 2 more
'Piotr Samczyński' 'Ram M. Narayanan'] This article analyses the possibility of using the Analytic Wavelet Transform (AWT) and the Convolutional Neural Network (CNN) for the purpose of recognizing the intrapulse modulation of radar signals. Firstly, the possibilities of using AWT by the algorithms of automatic signal…
Eric Rawls
Time-frequency (TF) analysis of M/EEG data enables rich understanding of cortical dynamics underlying cognition, health, and disease. There are many algorithms for time-frequency decomposition of M/EEG neural data, but they are implemented in an inconsistent manner and most existing toolboxes either 1) contain only one…
Joel Dokmegang, Emmanuel Faure, Patrick Lemaire, Ed Munro + 1 more
Describing morphogenesis generally consists in aggregating the multiple high resolution spatiotemporal processes involved into repeatable low dimensional morphological processes consistent across individuals of the same species or group. In order to achieve this goal, biologists often have to submit movies issued from…
Hassan Mohamed Muhi-Aldeen, Asma Abdulelah Abdulrahman, Jabbar Abed Eleiwy, Fouad Shaker Tahir + 1 more
'Jabbar Abed Eleiwy' 'Fouad Shaker Tahir' 'Yurii Khlaponin'] Hassan Mohamed Muhi-Aldeen Department of Computer Engineering Aliraqia University 22Sabaabkar, Adamia, Baghdad, Iraq muhialdeen.hassan@aliraqia.edu.iq https://orcid.org/0000-0002-9177-8621 Asma A. Abdulrahman Department of Applied Sciences University of…
Ruchira Purohit, Satish Kumar, Sameer Sayyad, Ketan Kotecha
Detection of anomalies in network traffic is critical to mitigating cyber threats. This study integrates continuous wavelet transform (CWT), discrete-time Fourier transform (DTFT), short-time Fourier transform (STFT), and autoencoders to identify anomalous network behaviour. It conducts time- frequency analysis of…
A. Amon, Kristian Fenech, Péter Kovács, Tamás Dózsa
networks Authors: ['A. Amon' 'Kristian Fenech' 'Péter Kovács' 'Tamás Dózsa'] Abstract—In this paper we consider the continuous wavelet transform using Gaussian wavelets multiplied by an appropriate rational term. The zeros and poles of this rational modifier act as free parameters and their choice highly influences the…
Marianna Podzorova, Yi-Kai Liu
This paper constructs the first quantum algorithm for wavelet packet transforms with a tree structure, sometimes called wave atom transforms. Classically, wave atoms are used to construct sparse representations of differential operators, which enable fast numerical algorithms for partial differential equations.…
Kaan Kesgin, Henrik Jörntell
Time-frequency decomposition is a well-established method to unmix signals generated by multiple sources with unique characteristics. However, there are cases of high signal complexity where existing time-frequency decomposition tools are insufficient for localizing and representing short-bursting signals. One example…
Mamiko Niwa, David Bauer, Marie Anderson, Ariane Kanicki + 3 more
The vestibular short-latency evoked potential (VsEP) reflects the activity of irregular vestibular afferents and their target neurons in the brain stem. Attenuation of trial-averaged VsEP waveforms is widely accepted as an indicator of vestibular dysfunction, however, more quantitative analyses of VsEP waveforms could…
Authors not listed
This report compares various simulation and data analysis methods for free induction decay (FID) signals in Nuclear Magnetic Resonance (NMR) Spectroscopy. The methods discussed include discrete fast Fourier transformation (FFT), least squares fitting (LSF), short-time Fourier transformation (STFT), and wavelet…
Asiryan, V., Volchkov, V. + 2 more
—This paper is devoted to the development and research of a new compression technology based on Weyl-Heisenberg bases (WH-technology) for modifying the JPEG compression standard and improving its characteristics. For this purpose, the paper analyzes the main stages of the JPEG compression algorithm, notes its key…
Authors not listed
The global drive towards net-zero has accelerated the adoption of carbon fibre reinforced polymers (CFRP) for lightweight structures in various sectors such as aerospace, automotive, energy and biomedical. Mechanical machining of CFRP is often necessary to meet dimensional or assembly-related requirements. However…
Authors not listed
When producing plant-protein-based meat analogues via high moisture extrusion (HME), the structure of extrudates is determined by complex interactions between ingredient composition and processing conditions. To facilitate consumers in their transition towards a diet higher in plant-based proteins, the food industry…
Safwan Mohammed, Neeraj J. Gandhi, Clara Bourelly, Ahmed Dallal
Neural signals encode information through oscillatory and transient components. The transient component captures rapid, non-rhythmic changes in response to internal or external events, while the oscillatory component reflects rhythmic patterns critical for processing sensation, action, and cognition. Current spectral…